TISIDB

Summary
Symbol	TACC3
Name	transforming, acidic coiled-coil containing protein 3
Aliases	ERIC1; ERIC-1; Transforming acidic coiled-coil-containing protein 3
Chromosomal Location	4p16.3
External Links	HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content	Basic function annotation. > Subcellular Location, Domain and Function > Gene Ontology > KEGG and Reactome Pathway

> Subcellular Location, Domain and Function [ TOP ]
Subcellular Location	Cytoplasm Cytoplasm, cytoskeleton, microtubule organizing center, centrosome Cytoplasm, cytoskeleton, spindle Cytoplasm, cytoskeleton, spindle pole Note=In complex with CKAP5 localized to microtubule plus-ends in mitosis and interphase. In complex with CKAP5 and clathrin localized to inter-microtubule bridges in mitotic spindles.
Domain	PF05010 Transforming acidic coiled-coil-containing protein (TACC)
Function	Plays a role in the microtubule-dependent coupling of the nucleus and the centrosome. Involved in the processes that regulate centrosome-mediated interkinetic nuclear migration (INM) of neural progenitors (By similarity). Acts as component of the TACC3/ch-TOG/clathrin complex proposed to contribute to stabilization of kinetochore fibers of the mitotic spindle by acting as inter-microtubule bridge. The TACC3/ch-TOG/clathrin complex is required for the maintenance of kinetochore fiber tension (PubMed:21297582, PubMed:23532825). May be involved in the control of cell growth and differentiation. May contribute to cancer (PubMed:14767476).

> Gene Ontology [ TOP ]
Biological Process	GO:0000070 mitotic sister chromatid segregation GO:0000226 microtubule cytoskeleton organization GO:0000819 sister chromatid segregation GO:0007052 mitotic spindle organization GO:0007059 chromosome segregation GO:0007067 mitotic nuclear division GO:0007088 regulation of mitotic nuclear division GO:0007091 metaphase/anaphase transition of mitotic cell cycle GO:0007346 regulation of mitotic cell cycle GO:0010965 regulation of mitotic sister chromatid separation GO:0021537 telencephalon development GO:0021543 pallium development GO:0021987 cerebral cortex development GO:0030900 forebrain development GO:0033044 regulation of chromosome organization GO:0033045 regulation of sister chromatid segregation GO:0033047 regulation of mitotic sister chromatid segregation GO:0044770 cell cycle phase transition GO:0044772 mitotic cell cycle phase transition GO:0044784 metaphase/anaphase transition of cell cycle GO:0051304 chromosome separation GO:0051306 mitotic sister chromatid separation GO:0051783 regulation of nuclear division GO:0051983 regulation of chromosome segregation GO:0060236 regulation of mitotic spindle organization GO:0098813 nuclear chromosome segregation GO:1902850 microtubule cytoskeleton organization involved in mitosis
Molecular Function	-
Cellular Component	-

> KEGG and Reactome Pathway [ TOP ]
KEGG	hsa03013 RNA transport
Reactome	-

Summary
Symbol	TACC3
Name	transforming, acidic coiled-coil containing protein 3
Aliases	ERIC1; ERIC-1; Transforming acidic coiled-coil-containing protein 3
Chromosomal Location	4p16.3
External Links	HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content	Literatures that report relations between TACC3 and anti-tumor immunity. The specific mechanism were also collected if the literature reports that a gene specifically promotes or inhibits the infiltration or function of T/NK cells.

> Text Mining [ TOP ]
There is no record.

Summary
Symbol	TACC3
Name	transforming, acidic coiled-coil containing protein 3
Aliases	ERIC1; ERIC-1; Transforming acidic coiled-coil-containing protein 3
Chromosomal Location	4p16.3
External Links	HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content	High-throughput screening data (e.g. CRISPR-Cas9, shRNA and RNAi) for T cell-mediated killing. Genetic screen techniques can identify mechanisms of tumor cell resistance (e.g., PTPN2) and sensitivity (e.g., APLNR) to killing by cytotoxic T cells, the central effectors of anti-tumor immunity. After comprehensively searching, eight groups of screening data sets were collected in the current database. In this tab, users can check whether their selected genes cause resistance or increase sensitivity to T cell-mediated killing in various data sets.

> High-throughput Screening

[ TOP ]

Statistical results of TACC3 in screening data sets for detecting immune reponses.

PMID	Screening System	Cancer Type	Cell Line	Data Set	Statistical Results	Relation to immunity
29301958	CRISPR-Cas9	melanoma	B16F10	Pmel-1 T cell	logFC: -2.63; FDR: 0.04170	Resistant to T cell-mediated killing
29301958	CRISPR-Cas9	melanoma	B16F10	OT-1 T cell	NA/NS	NA/NS
28783722	CRISPR-Cas9	melanoma	Mel624	2CT-CRISPR	NA/NS	NA/NS
28723893	CRISPR-Cas9	melanoma	B16	GVAX+Anti-PD1	NA/NS	NA/NS
28723893	CRISPR-Cas9	melanoma	B16	GVAX	NA/NS	NA/NS
25691366	RNAi	Breast cancer	MCF7	Luc-CTL assay	NA/NS	NA/NS
24476824	shRNA	melanoma	B16	Primary screen	NA/NS	NA/NS
24476824	shRNA	melanoma	B16	Secondary screen	NA/NS	NA/NS

Summary
Symbol	TACC3
Name	transforming, acidic coiled-coil containing protein 3
Aliases	ERIC1; ERIC-1; Transforming acidic coiled-coil-containing protein 3
Chromosomal Location	4p16.3
External Links	HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content	Transcriptomic and genomic profiling of pre-treated tumor biopsies from responders and non-responders to immunotherapy. These data were used to identify signatures and mechanisms of response to checkpoint blockade (e.g., anti-PDL1 and anti-PD1). One example is that mutations in the gene PBRM1 benefit clinical survival of patients with clear cell renal cell carcinoma. After comprehensively searching, we collected 5 and 6 of transcriptomic and genomic data sets, respectively. In this tab, users can check whether their selected genes have significant difference of expression or mutation between responders and non-responders in various data sets. > Expression difference between responders and non-responders > Mutation difference between responders and non-responders

> Expression difference between responders and non-responders

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Points in the above scatter plot represent the expression difference of TACC3 in various data sets.

No	PMID	Cancer type	Group	Drug	# Res	# NRes	Log2 (Fold Change)	P value
1	26997480	Melanoma	all	Anti-PD-1 (pembrolizumab and nivolumab)	14	12	-0.182	0.588
2	26997480	Melanoma	MAPKi	Anti-PD-1 (pembrolizumab and nivolumab)	6	5	-0.097	0.957
3	26997480	Melanoma	non-MAPKi	Anti-PD-1 (pembrolizumab and nivolumab)	8	7	-0.255	0.864
4	28552987	Urothelial cancer	all	Anti-PD-L1 (atezolizumab)	9	16	0.479	0.264
5	28552987	Urothelial cancer	smoking	Anti-PD-L1 (atezolizumab)	5	9	0.419	0.838
6	28552987	Urothelial cancer	non-smoking	Anti-PD-L1 (atezolizumab)	4	7	0.56	0.837
7	29033130	Melanoma	all	Anti-PD-1 (nivolumab)	26	23	-0.112	0.755
8	29033130	Melanoma	NIV3-PROG	Anti-PD-1 (nivolumab)	15	11	-0.276	0.847
9	29033130	Melanoma	NIV3-NAIVE	Anti-PD-1 (nivolumab)	11	12	0.122	0.936
10	29301960	Clear cell renal cell carcinoma (ccRCC)	all	Anti-PD-1 (nivolumab)	4	8	0.932	0.465
11	29301960	Clear cell renal cell carcinoma (ccRCC)	VEGFRi	Anti-PD-1 (nivolumab)	2	0	0	1
12	29301960	Clear cell renal cell carcinoma (ccRCC)	non-VEGFRi	Anti-PD-1 (nivolumab)	2	8	1.232	0.518
13	29443960	Urothelial cancer	all	Anti-PD-L1 (atezolizumab)	68	230	0.376	0.00103

> Mutation difference between responders and non-responders

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Points in the above scatter plot represent the mutation difference of TACC3 in various data sets.

No	PMID	Cancer type	Group	Drug	# Res	# NRes	% Mut/Res	% Mut/NRes	% Diff (R vs NR)	Pval
1	25765070	Non-small cell lung cancer (NSCLC)	all	Anti-PD-1 (pembrolizumab)	14	17	7.1	5.9	1.2	1
2	25765070	Non-small cell lung cancer (NSCLC)	smoking	Anti-PD-1 (pembrolizumab)	10	3	10	0	10	1
3	25765070	Non-small cell lung cancer (NSCLC)	non-smoking	Anti-PD-1 (pembrolizumab)	4	14	0	7.1	-7.1	1
4	26359337	Melanoma	all	Anti-CTLA-4 (ipilimumab)	27	73	7.4	1.4	6	0.177
5	26359337	Melanoma	BRAFi	Anti-CTLA-4 (ipilimumab)	0	14	0	0	0	1
6	26359337	Melanoma	non-BRAFi	Anti-CTLA-4 (ipilimumab)	27	59	7.4	1.7	5.7	0.231
7	26997480	Melanoma	all	Anti-PD-1 (pembrolizumab and nivolumab)	21	17	0	0	0	1
8	26997480	Melanoma	MAPKi	Anti-PD-1 (pembrolizumab and nivolumab)	8	6	0	0	0	1
9	26997480	Melanoma	non-MAPKi	Anti-PD-1 (pembrolizumab and nivolumab)	13	11	0	0	0	1
10	28552987	Urothelial cancer	all	Anti-PD-L1 (atezolizumab)	9	16	0	0	0	1
11	28552987	Urothelial cancer	smoking	Anti-PD-L1 (atezolizumab)	5	9	0	0	0	1
12	28552987	Urothelial cancer	non-smoking	Anti-PD-L1 (atezolizumab)	4	7	0	0	0	1
13	29033130	Melanoma	all	Anti-PD-1 (nivolumab)	38	27	5.3	0	5.3	0.507
14	29033130	Melanoma	NIV3-PROG	Anti-PD-1 (nivolumab)	22	13	9.1	0	9.1	0.519
15	29033130	Melanoma	NIV3-NAIVE	Anti-PD-1 (nivolumab)	16	14	0	0	0	1
16	29301960	Clear cell renal cell carcinoma (ccRCC)	all	Anti-PD-1 (nivolumab)	11	13	0	0	0	1
17	29301960	Clear cell renal cell carcinoma (ccRCC)	VEGFRi	Anti-PD-1 (nivolumab)	6	1	0	0	0	1
18	29301960	Clear cell renal cell carcinoma (ccRCC)	non-VEGFRi	Anti-PD-1 (nivolumab)	5	12	0	0	0	1

Summary
Symbol	TACC3
Name	transforming, acidic coiled-coil containing protein 3
Aliases	ERIC1; ERIC-1; Transforming acidic coiled-coil-containing protein 3
Chromosomal Location	4p16.3
External Links	HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content	Relations between abundance of tumor-infiltrating lymphocytes (TILs) and expression, copy number, methylation, or mutation of TACC3. The immune-related signatures of 28 TIL types from Charoentong's study, which can be viewed in the download page. For each cancer type, the relative abundance of TILs were inferred by using gene set variation analysis (GSVA) based on gene expression profile. In this tab, users can examine which kinds of TILs might be regulated by the current gene.

> Lymphocyte [ TOP ]

Summary
Symbol	TACC3
Name	transforming, acidic coiled-coil containing protein 3
Aliases	ERIC1; ERIC-1; Transforming acidic coiled-coil-containing protein 3
Chromosomal Location	4p16.3
External Links	HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content	Relations between three kinds of immunomodulators and expression, copy number, methylation, or mutation of TACC3. These immunomo-dulators were collected from Charoentong's study. In this tab, users can examine which immunomodulators might be regulated by TACC3. > Immunoinhibitor > Immunostimulator > MHC molecule

> Immunoinhibitor [ TOP ]

> Immunostimulator [ TOP ]

> MHC molecule [ TOP ]

Summary
Symbol	TACC3
Name	transforming, acidic coiled-coil containing protein 3
Aliases	ERIC1; ERIC-1; Transforming acidic coiled-coil-containing protein 3
Chromosomal Location	4p16.3
External Links	HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content	Relations between chemokines (or receptors) and expression, copy number, methylation, or mutation of TACC3. In this tab, users can examine which chemokines (or receptors) might be regulated by the current gene. > Chemokine > Receptor

> Chemokine [ TOP ]

> Receptor [ TOP ]

Summary
Symbol	TACC3
Name	transforming, acidic coiled-coil containing protein 3
Aliases	ERIC1; ERIC-1; Transforming acidic coiled-coil-containing protein 3
Chromosomal Location	4p16.3
External Links	HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content	Distribution of TACC3 expression across immune and molecular subtypes. > Immune subtype > Molecular subtype

> Immune subtype [ TOP ]

> Molecular subtype [ TOP ]

Summary
Symbol	TACC3
Name	transforming, acidic coiled-coil containing protein 3
Aliases	ERIC1; ERIC-1; Transforming acidic coiled-coil-containing protein 3
Chromosomal Location	4p16.3
External Links	HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content	Associations between TACC3 and clinical features. > Overall survival analysis > Cancer stage > Tumor grade

> Overall survival [ TOP ]

> Stage [ TOP ]

> Grade [ TOP ]

Summary
Symbol	TACC3
Name	transforming, acidic coiled-coil containing protein 3
Aliases	ERIC1; ERIC-1; Transforming acidic coiled-coil-containing protein 3
Chromosomal Location	4p16.3
External Links	HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content	Drugs targeting TACC3 collected from DrugBank database.

> Drugs from DrugBank database [ TOP ]
There is no record.

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